heyoo.ai

Share of Voice (SOV)

Growth Metrics

Share of voice measures how much of a category's conversation a brand captures relative to its competitors. Originally a paid-advertising metric (what share of category ad spend is your brand), it has expanded to cover earned media, social mentions, search visibility, and almost any surface where brand presence can be quantified.

It is one of the most useful brand-marketing metrics because it is comparative and predictive. Excess share of voice (the gap between SOV and current market share) reliably predicts future market-share growth in most categories, which makes SOV one of the few brand metrics that ties cleanly to a business outcome.

Key takeaways

  • Share of Voice = (Brand Mentions ÷ Total Category Mentions) × 100. Healthy B2B SOV exceeds market share over time, predicting future growth.
  • Excess share of voice (ESOV: SOV minus market share) is the leading indicator of share growth. Brands with positive ESOV typically gain market share at roughly 0.5 percentage points per 10 points of ESOV per year.
  • SOV can be measured across paid media, earned media, social, search, or any combination. Specify the surface; numbers from different surfaces are not comparable.

What is share of voice?

Share of voice is the percentage of total category conversation, advertising, or search demand that a brand captures. The denominator is the total category presence; the numerator is your brand's slice of it.

SOV can be measured across many surfaces:

  • Paid media SOV: share of total category ad spend.
  • Social SOV: share of total category social mentions or engagement.
  • Earned media SOV: share of trade press and analyst coverage.
  • Search SOV: share of organic search visibility for category keywords.
  • Total brand SOV: weighted combination of the above.

The surface matters. A brand can have high paid-media SOV and low organic SOV, or vice versa, and the strategic implications are different. Always specify the surface when reporting SOV; numbers from different surfaces are not directly comparable.

How do you calculate share of voice?

The standard formula:

Share of Voice = (Brand Mentions ÷ Total Category Mentions) × 100

Worked example: a B2B employee advocacy software category produces 4,000 mentions across LinkedIn, trade press, and podcasts in a quarter. Heyoo accounts for 280 of those mentions. Heyoo's social SOV = 280 ÷ 4,000 × 100 = 7%.

The trickier part is defining the category. Too narrow ("employee advocacy software for B2B SaaS in Germany") produces a small denominator that swings wildly. Too broad ("social media tools") produces a denominator that buries the brand. The sweet spot is a category narrow enough that the brand is genuinely competing in it but broad enough that the category is real.

For B2B, the most useful SOV measurements typically combine 2 to 4 surfaces (LinkedIn engagement, trade press, organic search, podcast mentions) into a weighted brand SOV. Single-surface SOV is volatile; weighted SOV smooths the noise.

Excess share of voice and growth prediction

Excess share of voice (ESOV) is the gap between a brand's SOV and its current market share:

ESOV = Share of Voice − Share of Market

Research from Les Binet, Peter Field, and Nielsen has consistently shown that ESOV predicts future market-share growth. The rule of thumb: brands with positive ESOV gain roughly 0.5 percentage points of market share per 10 points of ESOV per year. Brands with negative ESOV lose market share at a similar rate.

The practical implication for B2B: companies that want to grow market share need to invest in brand presence ahead of revenue share. A brand with 5% market share and 3% SOV is shrinking; the same brand with 5% market share and 8% SOV is gaining.

The ESOV framework is most reliable in stable, measurable categories. In rapidly shifting categories or where SOV measurement is incomplete, the relationship is noisier but still directional.

How do you improve share of voice?

Five tactics with the largest expected SOV impact:

  1. 1.Concentrate creative effort on shareable assets. One genuinely sharable piece of research produces more SOV than 50 tactical posts.
  2. 2.Sustain consistent presence. SOV compounds when the audience encounters the brand repeatedly across surfaces. Sporadic campaigns produce spikes, not durable share.
  3. 3.Activate employee advocacy. The most efficient way to multiply category presence on LinkedIn at near-zero media cost.
  4. 4.Earn third-party endorsement. Analyst recognition (G2, Forrester, Gartner), podcast appearances, and trade press coverage produce SOV that paid media cannot replicate.
  5. 5.Target competitor-adjacent topics. Content and ads that speak to the audience already evaluating competitors capture share away from those competitors.

The biggest SOV lever for most B2B SaaS under 50M EUR ARR is content concentration: fewer, deeper pieces of category-defining content that the audience cites and shares, rather than high-volume tactical content that adds noise without share.

Activate your team on LinkedIn

Heyoo helps marketing teams turn employees into authentic, on-brand storytellers, with personalised drafts, a shared calendar, and pipeline-grade analytics.

Frequently asked questions

How is share of voice different from market share?

Market share is the percentage of category revenue your brand captures. Share of voice is the percentage of category attention. SOV is the leading indicator; market share is the lagging outcome. The gap between the two (ESOV) predicts which direction market share is moving.

Should B2B brands measure share of voice?

Yes, particularly for brand-building budget allocation. SOV is one of the few brand metrics with a defensible link to business outcomes (market-share growth). For B2B SaaS in defined categories, SOV measurement across LinkedIn, trade press, and search visibility is feasible with modest tooling investment.

What surfaces should I measure for share of voice?

For B2B, the most useful combination is LinkedIn engagement, trade-press and podcast coverage, organic search visibility on category keywords, and (where relevant) analyst and review-site presence. Weight the surfaces according to where your buyer actually spends attention; weighting all surfaces equally produces noisy numbers.

Related terms